628 search results for "Knitr"

ID3 Classification using data.tree

April 17, 2015
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ID3 Classification using data.tree

Introduction About this vignette What is ID3? Feature Selection Purity and Entropy Information Gain The ID3 algorithm Pseudo code Implementation in R with the data.tree package Training with data Prediction The prediction method Using the prediction method While preparing this example, I asked my nine-year-old daughter, “Anaïs, imagine you have a basket full of mushrooms. The post

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Six Ways You Can Make Beautiful Graphs (Like Your Favorite Journalists)

April 8, 2015
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Six Ways You Can Make Beautiful Graphs (Like Your Favorite Journalists)

This post shows how to make graphs like The Economist, New York Times, Vox, 538, Pew, and Quartz. And you can share–embed your beautiful, interactive graphs in apps, blog posts, and web sites. Read on to learn how. If you like interactive graphs and need to securely collaborate with your team, contact us about Plotly Enterprise.

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Updated climate projections by cities

April 2, 2015
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Updated climate projections by cities

and versions of a simple R Shiny web application showing projected climate trends for various Alaska and western Canada communities is available.

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Makefiles and RMarkdown

March 28, 2015
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Makefiles and RMarkdown

Quite some time ago (October 2013, according to Amazon), I bought a copy of “Reproducible Research with R and RStudio” by Christopher Gandrud. And it was awesome. Since then, I’ve been using knitr and RMarkdown quite a lot. However, until recently, I never bothered with a makefile. At the time, I had assumed that it

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Short R tutorial: Scraping Javascript Generated Data with R

March 15, 2015
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Short R tutorial: Scraping Javascript Generated Data with R

When you need to do web scraping, you would normally make use of Hadley Wickham’s rvest package. This package provides an easy to use, out of the box solution to fetch the html code that generates a webpage. However, when the website or webpage makes use of JavaScript to display the data you’re interested in, The post

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Simple template for scientific manuscripts in R markdown

March 12, 2015
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The good reasons to write scientific reports and manuscripts in LaTeX or Markdown are: improved document integrity (always), simplicity (not always) and reproducibility (always). I prefer the lightweight Markdown over rich but more complex LaTeX -- I think that lightweight is good for reproducibility. I am also in love with … Continue reading →

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Creating composite figures with ggplot2 for reproducible research

March 10, 2015
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Creating composite figures with ggplot2 for reproducible research

So far, I have been preparing composite figures by plotting the data using ggplot2, and then putting the panels together in OmniGraffle or Adobe Illustrator. Of course, every time the data is updated, I would need to go back to the vector editing progr...

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ropensci/wishlist: A Google Docs-Rmarkdown GUI

March 10, 2015
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ropensci/wishlist: A Google Docs-Rmarkdown GUI

ropensci/wishlist: A Google Docs-Rmarkdown GUI: Wishlist for rOpenSci tools I’ve just added A Google Docs-Rmarkdown GUI to the rOpenSci ‘wishlist’. (GUI = graphical user interface). Thought I may as well reproduce it below: Summary: Use Google Docs for ease of drafting, aiming to output Rmarkdown to increase the use of reproducible documents Add some special codes to...

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Getting Data From An Online Source

March 6, 2015
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Getting Data From One Online SourceRobert NorbergHello world. It’s been a long time since I posted anything here on my blog. I’ve been busy getting my Masters degree in statistical computing and I haven’t had much free time to blog. But I’ve writing R code as much as ever. Now, with graduation approaching, I’m job hunting and I thought it would...

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Beautiful tables for linear model summaries #rstats

March 6, 2015
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Beautiful tables for linear model summaries #rstats

Beautiful HTML tables of linear models In this blog post I’d like to show some (old and) new features of the sjt.lm function from my sjPlot-package. These functions are currently only implemented in the development snapshot on GitHub. A package update is planned to be submitted soon to CRAN. There are two new major features

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